--- title: "awesome-vector-search vs pgvecto.rs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/currentslab-awesome-vector-search-vs-tensorchord-pgvecto-rs" tools: ["currentslab-awesome-vector-search", "tensorchord-pgvecto-rs"] --- # awesome-vector-search vs pgvecto.rs *GraphCanon updated Aug 21, 2026* ## Verdict Pick awesome-vector-search if curated collection of vector search-related resources including libraries, services, and research papers; pick pgvecto.rs if pgvecto.rs extends PostgreSQL for efficient vector searches using Rust. [awesome-vector-search](https://github.com/currentslab/awesome-vector-search) reports 1.6k GitHub stars, 123 forks, and 14 open issues, last pushed Jul 6, 2026. [pgvecto.rs](https://docs.vectorchord.ai/getting-started/overview.html) has 2.2k stars, 86 forks, and 76 open issues, last pushed Feb 26, 2025. Figures are from public GitHub metadata via [awesome-vector-search's repository](https://github.com/currentslab/awesome-vector-search) and [pgvecto.rs's repository](https://github.com/tensorchord/pgvecto.rs). | | [awesome-vector-search](/tools/currentslab-awesome-vector-search.md) | [pgvecto.rs](/tools/tensorchord-pgvecto-rs.md) | | --- | --- | --- | | Tagline | Collections of vector search related libraries, service and research papers | Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres | | Stars | 1,576 | 2,183 | | Forks | 123 | 86 | | Open issues | 14 | 76 | | Language | - | Rust | | Adopt for | Curated collection of vector search-related resources including libraries, services, and research papers. | pgvecto.rs extends PostgreSQL for efficient vector searches using Rust. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-vector-search](/tools/currentslab-awesome-vector-search.md) | [pgvecto.rs](/tools/tensorchord-pgvecto-rs.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 17d | 540d | | Open issues (now) | 14 | 76 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/currentslab-awesome-vector-search/trust.md) | [trust report](/tools/tensorchord-pgvecto-rs/trust.md) | ## Decision facts: awesome-vector-search - **Adopt for:** Curated collection of vector search-related resources including libraries, services, and research papers. ## Decision facts: pgvecto.rs - **Adopt for:** pgvecto.rs extends PostgreSQL for efficient vector searches using Rust. ## Choose when ### Choose awesome-vector-search if… - License: awesome-vector-search is MIT, pgvecto.rs is Apache-2.0. - Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning. - You need a comprehensive overview of vector search technology. ### Choose pgvecto.rs if… - License: pgvecto.rs is Apache-2.0, awesome-vector-search is MIT. - Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest. - Need integration with PostgreSQL for vector searches ## When NOT to use awesome-vector-search - Require real-time vector search service implementation details outside listed libraries. - Seeking detailed code tutorials rather than a list of resources. ## When NOT to use pgvecto.rs - Preferring a database system without PostgreSQL dependencies - Looking for a standalone solution, as pgvecto.rs is a PostgreSQL extension ## Common questions ### What is the difference between awesome-vector-search and pgvecto.rs? awesome-vector-search: Collections of vector search related libraries, service and research papers. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-vector-search over pgvecto.rs? Choose awesome-vector-search over pgvecto.rs when License: awesome-vector-search is MIT, pgvecto.rs is Apache-2.0; Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning; You need a comprehensive overview of vector search technology. ### When should I choose pgvecto.rs over awesome-vector-search? Choose pgvecto.rs over awesome-vector-search when License: pgvecto.rs is Apache-2.0, awesome-vector-search is MIT; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; Need integration with PostgreSQL for vector searches. ### When should I avoid awesome-vector-search? Require real-time vector search service implementation details outside listed libraries. Seeking detailed code tutorials rather than a list of resources. ### When should I avoid pgvecto.rs? Preferring a database system without PostgreSQL dependencies Looking for a standalone solution, as pgvecto.rs is a PostgreSQL extension ### Is awesome-vector-search or pgvecto.rs more popular on GitHub? pgvecto.rs has more GitHub stars (2,183 vs 1,576). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-vector-search and pgvecto.rs open source? Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, pgvecto.rs: Apache-2.0). ### Where can I find alternatives to awesome-vector-search or pgvecto.rs? GraphCanon lists graph-backed alternatives at [awesome-vector-search alternatives](/tools/currentslab-awesome-vector-search/alternatives) and [pgvecto.rs alternatives](/tools/tensorchord-pgvecto-rs/alternatives) ([awesome-vector-search markdown twin](/tools/currentslab-awesome-vector-search/alternatives.md), [pgvecto.rs markdown twin](/tools/tensorchord-pgvecto-rs/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/currentslab-awesome-vector-search-vs-tensorchord-pgvecto-rs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-vector-search or pgvecto.rs? awesome-vector-search: Active. pgvecto.rs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-vector-search and pgvecto.rs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-vector-search trust report](/tools/currentslab-awesome-vector-search/trust); [pgvecto.rs trust report](/tools/tensorchord-pgvecto-rs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=currentslab-awesome-vector-search`](/api/graphcanon/graph?tool=currentslab-awesome-vector-search) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_